The introduction of technology integration theory and the emergence of more alternative advanced manufacturing technology (AMT) provide objective conditions for the innovation activities of domestic enterprises, which may even lead to technological leap. At the same time the diversity of technology market makes technical choices become a question to be resolved. Because of the imperfection of the AMT selection methods, this paper intends to establish an AMT selection model using binary-logit-discrete-choice theory with binary trend panel data. The random effect structure of the model and the probability distribution of the random trend disturbance term of utility model are also given. It discussed the estimation of the random utility model, presented and proved two theorems of eliminating random accidents and random disturbance items of the mode. A panel data processing method is given to handle the random preference variables of the model, eventually transform the multi-period panel data model to a cross-sectional data model that can be estimated. The paper thus presents a theoretical approach to choose multi-technology integrated AMT resources. An example is given to verify the theoretical approach is effective and feasible at last.
Key words
technology integration /
panel data model /
stochastic trend /
advanced manufacturing technology (AMT)
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